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Pulmonary microbiota, local inflammation, and tumor progression impact immune checkpoint gene profiles in the lung microenvironment.

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Physiological genomics 2026 Cancer Immunotherapy and Biomarkers
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PubMed DOI OpenAlex 마지막 보강 2026-05-01
OpenAlex 토픽 · Cancer Immunotherapy and Biomarkers Ferroptosis and cancer prognosis Gut microbiota and health

Huang K, Zhang S, Liu J, Yang C, Zeng G, Li B

📝 환자 설명용 한 줄

Emerging data indicates that the lung microbiota contribute to the initiation and progression of lung cancer.

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APA Kun Huang, Siwen Zhang, et al. (2026). Pulmonary microbiota, local inflammation, and tumor progression impact immune checkpoint gene profiles in the lung microenvironment.. Physiological genomics. https://doi.org/10.1152/physiolgenomics.00300.2025
MLA Kun Huang, et al.. "Pulmonary microbiota, local inflammation, and tumor progression impact immune checkpoint gene profiles in the lung microenvironment.." Physiological genomics, 2026.
PMID 41921040 ↗

Abstract

Emerging data indicates that the lung microbiota contribute to the initiation and progression of lung cancer. Here, we investigate a wide range of immune checkpoint genes (ICGs) in the pulmonary microenvironment across lung carcinogenesis and explore the interplay between these immunoregulatory genes, the intratumoral microbiota, and inflammatory processes in the lungs. First, we estibalish that ICGs can considerably impact host immunity and efficacy of immunotherapy. Secondly, we identify , , and to significantly downregulate as tumors progress from early-stage to advanced-stage. In addition, the expression of , , and are significantly positively correlated with pulmonary inflammation. Finally, , , and levels positively correlate to immune- and inflammation-associated . Taken together, our study uncovers ICG signatures linked to tumor progression and sheds light on the complex network of microbiota-host immunity interactions within the lung microenvironment. This study lays the groundwork for future mechanistic studies and underscores the significance of microbiota-host immunity interactions for predicting and tracking the response to cancer treatment.

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